LLM & Multi-Modal AI Architect & Research Engineer

Tether; United States; Remote; USD 180,000 - 240,000; Full time

Job summary

Tether seeks an AI Research Engineer focused on pre-training for LLMs and multimodal models. You will design architectures, curate datasets, and optimize model performance.

The role emphasizes expertise in NLP and distributed training to scale AI across diverse modalities. You will drive innovations in model architectures for large-scale pre-training, integrating text and vision, and leveraging distributed training on thousands of NVIDIA GPUs.

Qualifications

• Strong background in NLP and distributed training.
• Experience with large-scale pre-training for LLMs.
• Experience with multimodal data and cross-modal alignment.

Responsibilities

• Design architectures and prototype models for pre-training LLMs and multimodal systems.
• Curate datasets and optimize model performance.
• Communicate findings and collaborate with a global team.
• Work with tokenizers and cross-modal alignment layers.

Skills

NLP expertise

Distributed training

Pre-training for LLMs

Multimodal modeling

Job description

Tether seeks an AI Research Engineer focused on pre-training for LLMs and multimodal models. You will design architectures, curate datasets, and optimize model performance.

The role emphasizes expertise in NLP and distributed training to scale AI across diverse modalities. You will drive innovations in model architectures for large-scale pre-training, integrating text and vision, and leveraging distributed training on thousands of NVIDIA GPUs.